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\title{Uncertain instance matching over instance and schema heterogeneous data}

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\author{Samur Araujo\inst{1}, Duc Thanh Tran\inst{2}, Arjen de Vries\inst{1}, Marcel Reinders\inst{1}}

% Jeffrey Dean \and David Grove \and Craig Chambers \and Kim~B.~Bruce \and
% Elsa Bertino}
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% Craig Chambers, Kim B. Bruce, Elisa Bertino}
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\institute{Delft University of Technology, PO Box 5031, 2600 GA Delft, the Netherlands \email{{S.F.CardosodeAraujo}}
\and Karlsruher Institute of Technology, Germany \\
\email{ducthanh.tran@kit.edu}}

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\begin{abstract} 
%Instance matching refers to the problem of determining whether two descriptions refer to the same real-world entity. 
%Traditionally, this problem 
Instance matching has been studied with focus on the single-domain setting, 
%where data come from the same or similar datasets, 
while less attention is given to the 
%large and 
heterogeneous environment of the Web, where data comes from different domains and are associated with different schemas. 
\\\\
\textbf{Keywords}: data integration, RDF interlinking, instance matching, linked data, entity search.
\end{abstract} 

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\section{Conclusions}

The approach can definitely improve the efficiency in the generation of candidate sets. After my holidays I will focus on solving the QSP and then evaluate the approach on realistic scale.

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